Giovanni Pietro Seu Bachelor and Master degree in Electronic - - PowerPoint PPT Presentation

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Mar 09, 2023 454 likes •540 views

Giovanni Pietro Seu Bachelor and Master degree in Electronic Engineering from the University of Cagliari PhD student in Bioengineering and Bioelectronics University of Genova & University of Cagliari Department of Electrical and

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Giovanni Pietro Seu

Bachelor and Master degree in Electronic Engineering from the University of Cagliari PhD student in Bioengineering and Bioelectronics University of Genova & University of Cagliari

Department of Electrical and Electronic Engineering University of Cagliari

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Design of a Closed-loop System for Neural Networks Analysis through High Density MEAs

Department of Neuroscience and Brain Technologies Istituto Italiano di Tecnologia

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Design a new elaboration tool for neuroscience studies:

Biological Neural Networks analysis
Exploiting High-Density Microelectrode Arrays (HDMEAs
Focus on acquisition-stimulation closed loop application

Data Stimuli Elaboration System

Objective:

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RAW data Filtered data Spike detected BPF Spike Detection

Application description:

Extract fast action potential components Amplitude threshold to detect peaks

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Proposed closed-loop system:

Data (CameraLink) Stimuli (TTL)

[1] “3Brain BioCam X,” http://www.3brain.com/biocam-system, accessed: 2017-02-07. [2] “Zynq-7000 all programmable soc,” http://www.xilinx.com/products/silicon-devices/soc/zynq-7000.html, accessed: 2017-02-07. [3] “3Brain BrainWave X,” http://www.3brain.com/biocam-system, accessed: 2017-02-07.

Data (CameraLink)

[1] [2] [3]

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Prototype:

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Analysis of neural activity in a mouse retina Detected spikes from 4 different channels at run-time

Prototype: Real Spikes

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G. P. Seu, G. N. Angotzi, G. Tuveri, L. Raffo, L. Berdondini, A. Maccione, and P. Meloni, “On-FPGA

real-time processing of biological signals from high-density MEAs: a design space exploration,” in 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 2017, pp. 175–183. URL:http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965040&isnumber=7965008

G. P. Seu, G. N. Angotzi, G. Tuveri, L. Raffo, L. Berdondini, A. Maccione, and P. Meloni, “A closed-

loop system for neural networks analysis through high density MEAs,” in 2017 13th Conference

n Ph.D. Research in Microelectronics and Electronics (PRIME), June 2017, pp. 321–324. URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7974172&isnumber=7974086